Jianzhong Chen

Relationship Between Prediction Accuracy and Feature Importance Reliability: an Empirical and Theoretical Study

This study investigates the relationship between prediction accuracy and feature importance reliability in neuroimaging data, showing that feature importance reliability can be high with sufficient sample size and is positively correlated with prediction accuracy.

Brain-based predictions of psychiatric illness-linked behaviors across the sexes

The paper shows that functional brain connectivity predicts psychiatric illness-linked behaviors differently in males and females, with shared and unique patterns across sexes.

Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity

The paper develops homotopic local-global parcellations of the human cerebral cortex using resting-state and task-fMRI, showing improved homogeneity and lateralization compared to existing parcellations.

Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI

This study compares the ability of anatomical, diffusion, and functional MRI to predict individual behavioral measures, finding that functional connectivity provides the best predictions, especially for cognition.

Meta-matching: a simple framework to translate phenotypic predictive models from big to small data

The paper introduces a framework called meta-matching to improve prediction performance in small datasets by leveraging correlations with large-scale phenotypic data.